8 citations · 11 across the 7 of their papers we have counts for
7 papers
WHAR Arena: Benchmarking the State of the Art in Efficient Wearable Human Activity Recognition
Maximilian Burzer, Tobias King, Till Riedel +2
Deep learning has become the dominant paradigm in Wearable Human Activity Recognition (WHAR), yet progress is obscured by a comparability crisis. Results are often reported using i…
pcbGPT: Automatic PCB Schematic Synthesis from Natural Language Requirements
Tobias King, Steven Kehrberg, Michael Beigl +1
Translating natural-language hardware requirements into correct printed circuit board (PCB) schematics remains difficult in embedded, IoT, and wearable development. Designers must…
CHOMP: Multimodal Chewing Side Detection with Earphones
Jonas Hummel, Maximilian Burzer, Felix Schlotter +7
Chewing-side preference (CSP) is a risk factor for temporomandibular disorders (TMDs) and a behavioral manifestation. Although TMDs affect roughly one-third of the global populatio…
WHAR Datasets: An Open Source Library for Wearable Human Activity Recognition
Maximilian Burzer, Tobias King, Till Riedel +2
The lack of standardization across Wearable Human Activity Recognition (WHAR) datasets limits reproducibility, comparability, and research efficiency. We introduce WHAR datasets, a…
earEOG via Periauricular Electrodes to Facilitate Eye Tracking in a Natural Headphone Form Factor
Tobias King, Michael Knierim, Philipp Lepold +4
Eye tracking technology is frequently utilized to diagnose eye and neurological disorders, assess sleep and fatigue, study human visual perception, and enable novel gaze-based inte…
OpenEarable ExG: Open-Source Hardware for Ear-Based Biopotential Sensing Applications
Philipp Lepold, Tobias Röddiger, Tobias King +3
While traditional earphones primarily offer private audio spaces, so-called "earables" emerged to offer a variety of sensing capabilities. Pioneering platforms like OpenEarable hav…
MicroNAS: Memory and Latency Constrained Hardware-Aware Neural Architecture Search for Time Series Classification on Microcontrollers
Tobias King, Yexu Zhou, Tobias Röddiger +1
Designing domain specific neural networks is a time-consuming, error-prone, and expensive task. Neural Architecture Search (NAS) exists to simplify domain-specific model developmen…